Kubernetes-scalable orchestration platform

Example

Kubernetes evaluates the resource requirements of containers and intelligently schedules them to run on the most appropriate host machine.

Scenario

For instance, in a retail company's web application during Black Friday sales, Kubernetes can automatically allocate more resources to the shopping cart service when there is an increase in user traffic.

Example

If a container fails, Kubernetes automatically restarts it or replaces it with an identical one, without human intervention.

Scenario

Consider a cloud-based video streaming service; if the service’s container crashes due to an unforeseen error, Kubernetes promptly restarts the container to minimize downtime and service disruption.

Example

Kubernetes can expose a container using a DNS name or its own IP address. If traffic to a container is high, Kubernetes is able to load balance and distribute the network traffic so that the deployment is stable.

Scenario

In the case of an e-commerce website that experiences variable traffic, Kubernetes manages the load such that no single container takes more requests than it can handle, thus maintaining the stability of the application.

Example

Kubernetes can manage sensitive information like passwords, OAuth tokens, and SSH keys using Kubernetes Secrets without exposing them in your stack configuration.

Scenario

For a financial services application, sensitive payment gateway credentials are managed securely, away from the codebase, using Kubernetes secrets.